Thermal-hydraulic analysis of a VVER-1000 core in MSLB ...
Transcript of Thermal-hydraulic analysis of a VVER-1000 core in MSLB ...
Thermal-hydraulic analysis of a VVER-1000 core in MSLB conditions
Svetlomir Mitkov1, Ivan Spasov
2*, and Nikola Kolev
1
1 Reactor Physics Laboratory, Institute for Nuclear Research and Nuclear Energy – Bulgarian
Academy of Sciences, Bulgaria 2 Department of Thermal Power Engineering and Nuclear Power Engineering, Technical University of
Sofia, Bulgaria
Abstract. The objective of this paper is to analyze the ability of a VVER-
1000 core and its control system to cope with a hypothetical main steam
line break (MSLB) accident in case of multiple equipment failures. The
study involves the use of advanced 3D core calculation models
benchmarked and validated for reactivity accidents in preceding studies. A
MSLB core boundary condition problem is solved on a coarse (nodal)
mesh with the coupled COBAYA/CTF neutronic/thermal hydraulic codes.
The core thermal-hydraulic boundary conditions are obtained from a
preceding full-plant MSLB simulation. The assessment of the core safety
parameters is supplemented by a fine-mesh (sub-channel) thermal-
hydraulic analysis of the hottest assemblies with the CTF code using
information from the 3D nodal COBAYA/CTF calculations. Thirteen
variants of a pessimistic MSLB scenario are considered, each of them
assuming a number of equipment failures aggravated by eight control rods
stuck out of the core after scram at different locations in the overcooled
sector. The results (within the limitations of the adopted modeling
assumptions) show that the core safety parameters do not exceed the safety
limits in the simulated aggravated reactivity accidents.
1. Introduction
A major concern in a main steam line break (MSLB) reactivity accident is the risk of core
overheating. In the computational analysis of such accidents the safety parameters of
particular interest are the fuel centerline temperature, the departure from nucleate boiling
ratio (DNBR) and the fuel rod cladding temperature. The fuel temperature should be kept
well below the UO2 melting temperature which can significantly vary depending on the fuel
burnup. As a VVER-1000 core can contain once, twice, three or four times burnt fuel
assemblies, it is of practical interest to analyze the consequences of such an asymmetric
reactivity accident at the end of core life and for various combinations of equipment failure.
This paper presents results from the analysis of thirteen variants of a hypothetical
MSLB scenario, each of them assuming a number of equipment failures plus eight control
rods stuck out of the core after scram at different radial locations in the overcooled sector.
* Corresponding author: [email protected]
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the CreativeCommons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
The main objective is to demonstrate the use of state-of-the-art 3D core calculation
models which have been benchmarked and partly validated for VVER-1000 reactivity
accidents in preceding studies. A specific objective is to make a step in the analysis of the
ability of a VVER-1000 core and its control system to cope with such an accident without
exceeding the safety limits. Uncertainty analysis is beyond the scope of this work.
2. Methodology
2.1 Accident scenario
The considered accident scenario is based on aggravated variants of the pessimistic
scenario in the OECD/NEA VVER-1000 MSLB benchmark (V1000CT-2) [1]. The task is
to solve a MSLB core boundary condition problem using coupled 3D neutronic/thermal
hydraulic codes, given the core thermal-hydraulic (TH) boundary conditions as obtained
from a full plant simulation. The core boundary conditions (BCs) are taken to be as
specified in the V1000CT-2 benchmark [1, 2]. The plant transient is initiated at hot full
power by a large guillotine type break of steam line #4 outside the containment, upstream
of the steam intercept valve. The reference core is a real Kozloduy-6, Cycle 8 three-year
batch core at 270.4 EFPD [1]. The core contains once, twice and three times burnt UO2 fuel
of initial enrichment 4.23 w/o and 4.4 w/o. The steam generator feed-water valve in the
faulted loop fails to close on MSLB signal and remains open. The main coolant pump
(MCP) in the faulted loop fails to trip on MSLB signal and all MCP remain in operation.
The steam generator in the faulted loop continues uncontrolled cooling till the complete
evaporation of the secondary water. A cooler sector is formed at the core inlet, with
overcooling of up to 80°C. During the transient eight peripheral control rod clusters (CR)
are assumed to remain stuck out of the core after scram, all of them in the overcooled
sector. Thirteen cases with different radial combinations of the stuck rods are to be
analyzed to assess the values of the core safety parameters.
2.2 Codes and methods
2.2.1 Full-core nodal calculation
Full-core coarse-mesh (nodal) simulations for each CR configuration were carried out with
the coupled COBAYA4/CTF neutronic/thermal-hydraulic codes.
COBAYA4 [3, 4] is a 3D multi-scale core physics code using transport-corrected multi-
group diffusion approximation. It is developed by the Universidad Politecnica de Madrid
and benchmarked for VVER-1000 calculations [5, 6] in the frame of the EU NURISP [7]
and NURESAFE [8] projects. At the nodal level the analytical coarse-mesh finite-
difference (CMFD) method [9] is used. The code has radial mesh refinement capability.
COBRA-TF (CTF) [10, 11] is a recent version of the COBRA-TF thermal-hydraulic
(TH) code which uses a two-fluid, three-field modeling approach and has sub-channel
capabilities.
The COBAYA4/CTF coupling method [12] for VVER-1000 is based on the MED
Coupling libraries in the Salome platform [13]. The coupling and the coupled models have
been tested for VVER MSLB in preceding studies [5, 14]. The modeling assumptions in the
coupled COBAYA4/CTF VVER-1000 calculation models are briefly summarized below:
� Coarse-mesh COBAYA 3D neutron kinetics with:
- 30 axial nodes in the heated region;
- 2 nodes in each axial reflector;
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
2
- 6 triangles per hexagon.
� Use of a realistic VVER-1000 multi-parameter two-group cross-section library
[15] for reactivity accident analysis which has been generated with the APOLLO2
code [16] and validated in the frame of the NURESAFE project [8];
� Use of time-dependent assembly-by-assembly MSLB thermal-hydraulic core
boundary conditions (inlet temperatures, inlet mass flow rates, and outlet
pressures) obtained from a full plant simulation involving a quasi-3D reactor
pressure vessel TH model [17];
� Coarse-mesh CTF thermal-hydraulic model with one channel per assembly and 30
axial nodes in the heated part;
� Fuel model with 9 radial rings in the fuel, one for the gas gap and one for the
cladding;
� Temperature-dependent fuel and cladding thermal-physical properties [18];
� The spacer grids are not explicitly modeled and are taken into account by the
vertical pressure loss coefficients;
� The gas gap conductance coefficient is taken constant, equal to 3070 W/m2K, as
estimated at average core burnup of 26.6 MWd/kgHM [1];
� Chen’s model of nucleate boiling [19] and the W-3 critical heat flux (CHF)
correlation [20] with non-uniform power distribution.
2.2.2 Sub-channel assembly calculations
Two variants of the transient having the most risky values of the core safety parameters
were selected for sub-channel TH calculations of the hottest assemblies. Such simulations
were carried out for the hottest assemblies and assemblies next to them so that the analysis
includes once, twice or three times burnt fuel. The main modeling assumptions were as
follows:
� Assembly thermal-hydraulic problems were solved with inlet/output TH BCs from
the plant system simulation, and assembly powers and axial power profiles as
obtained from the full-core nodal simulation with COBAYA4/CTF;
� Radial pin-power distribution taken such as at hot full power for the hottest
assemblies, and with artificially imposed 5% radial tilt for the considered adjacent
assembly of higher burnup;
� Coolant-centered radial spatial mesh with 660 sub-channels per assembly;
� Axial mesh with 30 nodes in the heated region;
� Fuel model with 9 radial rings in the fuel pellet, 1 for the gap and 1 for the
cladding. The central hole is taken into account, and conduction in radial and axial
direction is considered;
� The bypass of 2.2% through the control rod guide tubes in the un-rodded
assemblies is not explicitly modeled and is taken into account by decreasing the
active coolant flow;
� The spacer grids are not explicitly modeled and are taken into account by the
vertical pressure loss coefficients;
� User defined coolant mixing coefficient of 0.01 (and exploratory option of 0.03 to
study the impact of higher coefficients);
� Use of the W-3 CHF correlation with non-uniform power distribution;
� Use of both Chen’s [19] and Thom’s [21] models of nucleate boiling, to compare
the performance;
� Constant fuel gap conductance coefficient equal to 3070 W/m2K as estimated at
average core burnup of 26.6 MWd/kgHM [1];
� Temperature-dependent fuel and cladding thermal-physical properties [18].
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
3
Details of the sub-channel input model for VVER assemblies can be found in ref. [22].
3. Results
3.1 Full-core nodal calculations
Table 1 Summary of the coarse-mesh computed core configurations and safety parameters
Case # Stuck CR, #
Max
return
to
power
MW
Hottest
assembly
# &
Adjacent
assembly
#
Assem-
bly
burnup
MWd/
kgHM
Fxy
Max
Tfuel,
ºC
Tmelt
UO2,
ºC
Max
Тclad,
ºC
Min
DNBR
1
90,91,105,
106,117,
118,130, 140
1098 104 / 117 15.3/ 31.0 7.694/ 6.958
2015/ 2018
2745/ 2650
335.5 4.21/ 4.27
2 82,90,91, 105,106,
117,118,130
889.8 104 / 117 15.3 8.927/
7.470
1851/
1580
313.2/
298.8
4.69/
5.98
3 79,90,91, 105,106,
117,118, 130
986.8 104 / 90 15.3 8.303/
6.964
1976/
1661
319 /
303
4.23/
5.57
4
63,90,91,
105,106, 117,118, 130
991.2 104 / 90 15.3 8.421/
7.440
1912 /
1680
319.2/
307.4
4.31/
5.29
5
63,82,90,
91,105, 106,117, 118
891.9 104 / 90 15.3/
24.1
8.986/
8.076
1826 /
1630
313.4/
303.7
4.72/
5.60
6
105,106,
117,118, 130,140,
142,151
1051 129 / 140 15.45 /
24.2 8.013/ 7.605
1944 / 1831
2745/ 2690
320.2 / 315.2
4.31/ 4.71
7
64,90,91,
105,106, 117,118, 130
933.5 104 / 117 15.3 8.703/
7.219
1902 /
1609
316.3 /
301
4.46/
5.80
8
90,91,94,
105,106, 117,118,130
957.3 104 / 117 15.3 8.388/
7.036
1912 /
1642
316 /
302
4.46/
5.69
9
90,91,105,
106,117,
118,120, 130
984.4 104 / 90 15.3 8.112/ 6.704
1926 / 1584
316./ 299.
4.43/ 5.96
10
91,105,
106,117,
118,120, 130,140
1005 129 / 140 15.45 8.141/
6.887
1957/
1665
318.8 /
304
4.27/
5.53
11
91,94,105,
106,117,
118,130, 140
963.7 129 / 117 15.45 8.301/ 6.989
1882 / 1636
315.4 / 301.5
4.54/ 5.70
12
91,105,
106,117,
118,130, 140,151
1035 129 / 140 15.45 8.115/
7.319
1906 /
1702
320 /
310.
4.30 /
5.11
13
91,105,
106,117, 118,130,
140,142
955.9 129 / 140 15.45 8.503/ 7.293
1884/ 1623
316.4 / 302.7
4.48/ 5.67
Limiting values 0.0 2840 1200 1.45*
of the safety parameters 49.0 2540 1200 1.45*
* When using the W-3 DNB correlation
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
4
Table 1 summarizes the suite of 13 variants of the MSLB scenario and the corresponding
coarse-mesh computed core safety parameters. In each case, the parameters of the hottest
assembly (which appears to be once burnt) and those of an adjacent assembly (twice or
three times burnt) with high Fxy power peaking factor are shown.
The nodal simulation results show that the highest return to power after scram and the
highest radial peaking factors occur in Case 1 and Case 6.
Figure 1 shows the time history of the total core power in Case 1 and Case 6 of the
transient. The corresponding maximum return to power after scram is 1098 MW,
respectively 1051 MW, at 67s from the onset of the transient.
Figure 2 illustrates the computed relative assembly powers at time of max return to
power (67s) in Case #1. The radial locations of the fully inserted control rod clusters are
marked in blue and those of the stuck rods – in beige. The hottest assembly is the unrodded
#104, marked in brick.
Figure 3 illustrates the computed relative assembly powers at time of max return to
power (67s) in Case #6. The core map format is as in Figure 2. The hottest assembly is the
unrodded #129, marked in brick.
The assembly-wise power distributions show that a big part of the core power is
released in the region of stuck rods in the overcooled core sector. The peak of the 3D power
distribution in the disturbed sector is near the core periphery. Correspondingly, Case 1,
assembly #104 (15.3 MWd/kgHM) and the adjacent #117 (31.0 MWd/kgHM), as well as
Case 6, assembly #129 (15.45 MWd/kgHM) and the adjacent #140 (24.1 MWd/kgHM)
were selected for additional sub-channel thermal-hydraulic analysis.
Figure 4 illustrates the coarse-mesh computed axial power distributions at time of max
return to power - core-averaged and assembly-wise for the assemblies of interest for sub-
channel analysis.
0
500
1000
1500
2000
2500
3000
0 30 60 90 120 150 180 210
To
tal p
ow
er,
M
W
Time, s
Case #1
Case #6
Fig. 1 Time history of the total core power
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
5
Fig. 2 Case #1 : Computed relative assembly powers at time of max return to power (67s)
Fig. 3 Case #6: Computed relative assembly powers at time of max return to power (67s)
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
6
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
1.3
1.4
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5
No
rmali
zed
axia
l p
ow
er
dis
trib
uti
on
Elevation, [m]
Case #1: Core averagedCase #1: Assembly#104Case #1: Assembly#117Case #6: Core averagedCase #6: Assembly#129Case #6: Assembly#140
Fig. 4 Computed axial power distribution at time of max return to power
3.2 Sub-channel thermal-hydraulic calculations
In Case 1, sub-channel TH analysis was carried out for the hottest assembly which is #104
(15.3 MWd/kgHM) and for the adjacent #117 (31.0 MWd/kgHM).
In Case 6, sub-channel calculation was performed for the hottest #129 assembly (15.45
MWd/kgHM) and the assembly #140 (24.1 MWd/kgHM) next to it.
In both cases the assembly inlet and outlet TH boundary conditions at time of max
return to power are nearly the same. The inlet temperatures for Case 1, assembly #104 and
#117 are 207.62 ºC, and for Case 6, assembly #129 and #140 are 207.7 ºC and 207.66 ºC
respectively. The corresponding inlet mass flow rates are nearly the same.
It should be noted that some preliminary sub-channel results for Case 1, hot assembly
#104 have been reported in ref. [23], and this study extends the sub-channel analysis to
more cases and various assemblies including such of higher burnup, where the UO2
melting temperature is lower.
The peak of the 3D power distribution in the disturbed sector is near the core periphery
and corresponds to the radial location of the hottest assembly. For such a configuration and
in the lack of full-core pin-by-pin calculation, it is reasonable to assume a hot full power-
like radial pin-power distribution for the hottest assembly (#104 in Case 1, and #129 in
Case 6). An approximate tilt of ±5% across the assembly section is assumed for the
adjacent assemblies.
Figure 5 illustrates the adopted pin-power distribution at hot full power (HFP).
Details of the computed distributions are illustrated in Figures 6 through 14.
Table 2 summarizes the sub-channel results for the core safety parameters, obtained
with the Chen and Thom options of the nucleate boiling model in CTF. The results in this
table and the figures below (except for Figure 12) are obtained with user defined cross-
channel mixing coefficient of 0.01. A small value is specified because this coefficient is not
yet validated. Thus, the cross-channel mixing is mainly gradient driven. See Figures 11 and
12 for a parametric study of the impact of higher values of the user defined mixing
coefficient on the vapor volume fraction.
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
7
0.000
1.001 1.001
1.000 1.000 1.000
0.998 0.997 0.000 0.998
0.992 0.984 0.993 0.994 0.992
0.000 0.990 0.992 0.993 0.992 0.000
0.982 0.986 0.988 0.000 0.988 0.987 0.983
0.971 0.973 0.975 0.985 0.985 0.975 0.973 0.971
0.985 0.978 0.976 0.979 0.979 0.979 0.976 0.978 0.985
1.015 1.002 0.998 0.993 0.995 0.995 0.994 0.998 1.002 1.015
1.078 1.057 1.046 1.041 1.040 1.038 1.040 1.054 1.046 1.057 1.078
Fig. 5 PERMAK [24] computed radial pin power distribution in a fuel assembly at hot full power
Table 2 Sub-channel computed core safety parameters
Case Assembly #
/ Burnup,
MWd/kgHM
Fxy 5% tilt of
the radial
pin-power
distribution
Hot cell
exit vapor
volume
fraction,%
Max
T
fuel,
ºC
T
melt
UO2,
ºC
Max
Тclad,
ºC
Min
DNBR
1 104 / 15.3 7.733 no 0.32 2506 2745 333.1 2.66
1 117 / 31.0 6.996 yes 0.20 2367 2650 328.3 2.96
6 129 / 15.45 8.013 no 0.30 2456 2744 332.7 2.69
6 140 / 24.2 7.605 yes 0.31 2439 2690 332.4 2.71
6 140 / 24.2 7.605 no 0.16 2341 2690 327 3.03
6* 129 / 15.45 8.013 no 0.12 2456 2744 330.1 2.69
6* 140 / 24.2 7.605 no 0.05 2341 2690 327 3.03
*When using the Thom nucleate boiling correlation
In Table 2, the limiting values of the core safety parameters are as follows:
� Tmelt UO2, ºC: 2840 ºC for fresh fuel and 2540 ºC for burnt fuel (at 50 EFPD for the
considered VVER fuel);
� Tclad: 1200 ºC;
� Min DNBR: 1.45 (when using the W-3 DNB correlation).
The predicted values of the core safety parameters (within the limitations of the
modeling assumptions) do not exceed the safety limits. However, the impact of the 5% tilt
of the radial assembly pin power distribution is considerable and indicates that this issue
requires further attention using full-core pin-by-pin coupled calculations.
Figures 6 and 7 show the sub-channel results for Case 1, assembly #104 obtained with
HFP pin-power distribution and Chen’s nucleate boiling model.
Figure 8 illustrates the results for Case 1, assembly #117, obtained with 5% tilt in the
pin-power distribution across the hexagonal section and Chen’s nucleate boiling model.
Figures 9 through 12 show the results for Case 6, hot assembly #129 (15.45
MWd/kgHM). The results аrе obtained using HFP pin-power distribution. The comparison
of the sub-channel liquid fraction maps in Figures 11 and 12 shows the impact of using
higher values of the cross-channel mixing coefficient (0.03) – the sub-cooled boiling area
shrinks toward the assembly center.
Figures 13 and 14 show the results for Case 6, assembly #140 (24.2 MWd/kgHM),
obtained with ±5% tilt in the pin-power distribution across the hexagon and Chen’s
nucleate boiling model.
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
8
The results in Figures 6, 8, 9 and 13 show that despite the high power peaking factors in
the hottest assemblies only subcooled boiling and small vapor volume fraction in the upper
part of the assemblies is predicted, because of the low inlet temperatures.
Figure 9 shows that the use of Chen’s nucleate boiling model predicts higher vapor void
fraction in the subcooled region compared to that obtained with the Thom correlation.
Both Chen’s and Thom’s correlations predict nearly the same axial profiles of the fuel
centerline and cladding temperatures (see Figure 10).
1200
1400
1600
1800
2000
2200
2400
2600
2800
0
0.0005
0.001
0.0015
0.002
0.0025
0.003
0.0035
0.004
0 0.5 1 1.5 2 2.5 3 3.5
Tem
pera
ture
, [C
]
Vap
ou
r fr
acti
on
, [-
]
Elevation, [m]
Fig. 6 Case #1, Assembly #104: Computed hottest pin centerline temperature and hot cell
vapor volume fraction at max return to power, when using the Chen nucleate boiling model
0
1
2
3
4
5
6
7
8
9
0 0.5 1 1.5 2 2.5 3 3.5
DN
BR
, [-
]
Elevation, [m]
Fig. 7 Case #1, Assembly #104: Computed DNBR (z) using the W-3 correlation and HFP pin
power distribution, at max return to power
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
9
1000
1200
1400
1600
1800
2000
2200
2400
2600
2800
3000
0
0.0002
0.0004
0.0006
0.0008
0.001
0.0012
0.0014
0.0016
0.0018
0.002
0 0.5 1 1.5 2 2.5 3 3.5
Tem
pera
ture
, [C
]
Vap
ou
r fr
acti
on
, [-
]
Elevation, [m]
Fig. 8 Case #1, Assembly #117: Computed hottest pin centerline temperature and hot cell
vapor volume fraction at max return to power, when using the Chen nucleate boiling model
0
0.0005
0.001
0.0015
0.002
0.0025
0.003
0.0035
0 0.5 1 1.5 2 2.5 3 3.5
Vap
ou
r fr
acti
on
, [-
]
Elevation, [m]
Thom's correlation: Bundle averaged
Thom's correlation: Hottest sub-channel
Chen's correlation: Bundle averaged
Chen's correlation: Hottest sub-channel
Fig. 9 Case #6, Assembly #129: Computed axial distribution of the bundle averaged and hot cell
vapour volume fractions
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
10
200
220
240
260
280
300
320
340
360
1200
1400
1600
1800
2000
2200
2400
2600
2800
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5
Tem
pera
ture
, [C
]
Tem
pera
ture
, [C
]
Elevation, [m]
Thom's correlation: Tfuel
Chen's correlation: Tfuel
Thom's correlation: Tcladding
Chen's correlation: Tcladding
Fig. 10 Case #6, Assembly #129 : Computed hottest pin centerline and cladding temperatures.
Tmax, fuel=2456,4 C , Tmax,clad-Chen = 332,7 ºC, Tmax,clad-Thom = 330,6 ºC
Fig. 11 Case #6, Assembly #129 at max return to power: Computed exit liquid volume fraction, with
user defined mixing coefficient of 0.01 and Thom’s’nucleate boiling model
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
11
Fig. 12 Case #6, Assembly #129 at max return to power: Computed exit liquid volume fraction, with
user defined mixing coefficient of 0.03, and Thom’s nucleate boiling model
0
0.0002
0.0004
0.0006
0.0008
0.001
0.0012
0.0014
0.0016
0.0018
0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50
Vap
ou
r fr
acti
on
, [-
]
Elevation, [m]
Thom's correlation - hottest cell
Thom's correlation - bundle averaged
Chen's correlation - hottest cell
Chen's correlation - bundle averaged
Fig. 13 Case #6, Assembly #140: Computed vapor volume fraction with pin-power distribution tilt
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
12
220
240
260
280
300
320
340
0
500
1000
1500
2000
2500
3000
0 0.5 1 1.5 2 2.5 3 3.5
Tem
pera
ture
, [C
]
Tem
pera
ture
, [C
]
Elevation, [m]
Tfuel
Tcladding
Fig. 14 Case #6, Assembly #140 : Computed hottest pin centerline and cladding temperatures using
Chen’s nucleate boiling model and pin-power tilt. Tmax,fuel = 2439 ºC, Tmax,clad = 332.4 ºC
4. Summary and conclusions
The safety parameters of a VVER-1000 core near the end of life were analyzed for a suite
of pessimistic MSLB accident scenarios. For this purpose, coupled full-core
COBAYA4/CTF neutronic/ thermal-hydraulic simulations at the nodal level were
supplemented by CTF sub-channel calculations for the hottest assemblies of different
burnup in the most risky cases.
In the CTF sub-channel assembly simulations, modeling options in the modeling
assumptions with the Chen and Thom nucleate boiling models and with different user-
specifies cross-channel mixing coefficients were compared.
The results show that:
� In all cases the predicted fuel cladding temperature at time of max return to power
is far below the limiting value of 1200 ºC;
� The predicted sub-cooled boiling in the upper part of the hottest sub-channels is
insignificant, even in the worst cases. The Chen model of nucleate boiling predicts
higher vapor volume fraction compared to that obtained with Thom’s model (as
observed in other LWR assembly calculations);
� The minimum DNBR value of 2.66 predicted in the worst Case 1, Assembly #104
is well above the limiting value of 1.45 when using the W-3 CHF correlation;
� The predicted fuel centerline temperature in the hottest assemblies has a moderate
margin of about 237 – 251 ºC to the burnup dependent UO2 melting temperature.
Because of its importance, and of its strong dependence on the local pin power
distribution and on the gap conductance coefficient, the assessment of this safety
parameter deserves further attention.
� In case of boiling in the assembly, the user-defined cross-channel mixing
coefficient in sub-channel CTF needs further validation on measured assembly
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
13
data because of its impact on the void fraction distribution. In the meantime, small
values or not using this coefficient produce more conservative results.
The results (within the limitations of the adopted modeling assumptions) show that the
core safety parameters do not exceed the safety limits in the simulated aggravated reactivity
accidents.
Further improved analyses are expected to include a coupled pin-by-pin
neutronic/thermal-hydraulic calculation, at least for a mini-core of seven assemblies around
the hottest one, as well as a dynamic gap conductance coefficient, a DNBR from VVER-
specific CHF skeleton tables in CTF, and uncertainty quantification.
5. References
1. N.P. Kolev et al: VVER-1000 Coolant transient benchmark Phase II (V1000CT-2),
Vol.2, Final Specifications of the VVER-1000 MSLB problem. NEA/NSC/DOC
2006(6) © OECD (2010)
2. N.P. Kolev, I. Spasov, Tz. Tzanov, E. Royer: VVER-1000 Coolant Transient
Benchmark: Phase 2 (V1000CT-2) Volume 4: Summary results of coupled 3D
kinetics/core-vessel thermal hydraulics and core-plant MSLB simulation.
NEA/NSC/DOC (2011)3, Paris © OECD (2011)
3. COBAYA team: COBAYA4 user’s guide. UPM Report, Madrid, (2015)
4. C. Ahnert: Capacities and achievements of the COBAYA4 code after the NURESAFE
project. NURESAFE Open General Seminar, Brussels, November 4-5, (2015).
5. N.P. Kolev, I. Spasov, N. Zheleva, G. Todorova, N. Petrov, P. Ivanov, S. Mitkov, O.
Kamenscic, J. Hadek, L. Vyskocil, J. Jimenez, V.H. Sanchez, S. Sanchez-Cervera, N.
Garcia-Herranz, A. Sabater, D. Cuervo: Higher-resolution VVER MSLB simulation –
Final Report. NURESAFE D14.41 report, Feb (2016)
6. B. Chanaron, C. Ahnert, N. Crouzet, V. Sanchez, N. Kolev et al, “ Advanced multi-
physics simulation for reactor safety in the framework of the NURESAFE project”,
Annals of Nuclear Energy, Volume 84, pp. 166-177,
doi:10.1016/j.anucene.2014.12.013, (2015)
7. B. Chanaron, C. Ahnert, D. Bestion, M. Zimmermann, N. Crouzet: The European
Project NURISP for Nuclear Reactor Simulation. Proc. 2010 Annual Meeting of the
American Nuclear Society, San Diego, CA, 13-17 June, (2010)
8. B. Chanaron: Overview of the NURESAFE European Project, Nuclear Engineering
and Design, Vol. 321, pp.1-7 DOI: 10.1016/j.nucengdes.2017. 09.001, (2017)
9. Juan-Andrés Lozano, Javier Jiménez, Nuria García-Herranz, José-María Aragonés:
Extension of the analytic nodal diffusion solver ANDES to triangular-Z geometry and
coupling with COBRA-IIIc for hexagonal core analysis, Annals of Nuclear Energy, 37
pp. 380–388, (2010)
10. M. Avramova, R. Salko et al.: COBRA-TF (CTF) 2013 User’s Guide. Pennsylvania
State University, PA, Nov (2013)
11. R.K. Salko, M. Avramova: COBRA-TF Sub-channel Thermal Hydraulic Code (CTF)
Theory Manual, CASL-U-2016-1110-000, Pennsylvania State University, May 25
(2016).
12. N. García-Herranz, D. Cuervo, A. Sabater, G. Rucabado, S. Sánchez-Cervera, E.
Castro: Multi-scale neutronics/thermal-hydraulics coupling with COBAYA4 code for
pin-by-pin PWR transient analysis. Nuclear Engineering and Design, Volume 321, pp.
38-47, September (2017)
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
14
13. Salome 6: http://www.salome-platform.org/
14. I. Spasov, S. Mitkov, N.P. Kolev, S. Sanchez-Cervera, N. Garcia-Herranz, A. Sabater,
D. Cuervo, J. Jimenez, V.H. Sanchez, L. Vyskocil: Best-estimate simulation of a
VVER MSLB core transient using the NURESIM platform codes. Nucl. Eng. and
Design, Vol. 321, pp.26-37, (2017)
15. N. Petrov, I. Spasov, N.P. Kolev, S. Sanchez-Cervera, N. Garcia-Herranz: Nodal level
XS library v2 for VVER parameterized for MSLB. NURESAFE D14.25-Rev2 report,
Jan (2015)
16. R. Sanchez: APOLLO2 Year 2010. Nuclear Engineering and Technology, Vol.42,
No.5, pp 474-499, October (2010)
17. I. Spasov, N.P. Kolev, J. Donov, L. Sabotinov: CATHARE Multi-1D Modeling of
Coolant Mixing in VVER-1000 for RIA Analysis. Science and Technology of Nuclear
Installations, Vol.2010, Article ID 457094, Hindawi, New York, open access j., doi:
10.1155/2010/457094, (2010)
18. N.P. Kolev, I. Spasov, G. Todorova: VVER MSLB Specification: Vessel mixing tests
and N/TH simulation at the nodal level. NURESAFE D14.11.1 report, (2014)
19. J.C. Chen: A Correlation for Boiling Heat Transfer to Saturated Fluids in Convective
Flow. BNL-6672, https://doi.org/10.2172/4636495, (1962)
20. L.S. Tong: Prediction of Departure from Nucleate Boiling for an Axially Non-Uniform
Heat Flux Distribution. Journal of Nuclear Energy, Vol. 21, pp 241-248, (1967)
21. JRS Thom, WM. Walker, T.A. Fallon, GFS Reising: Paper 6: Boiling in Sub-Cooled
Water during Flow up Heated Tubes or Annuli. Proceedings of the Institution of
Mechanical Engineers, Conference Proceedings, 180(3), pp 226-246, (1965)
22. I. Spasov, S. Mitkov, N. Kolev: Sub-channel FLICA4 and COBRA-TF input models
qualified for VVER. NURESAFE D14.23 Report, 14 June (2014)
23. S. Mitkov, I. Spasov, N.P. Kolev: Simulation of a hypothetical MSLB core transient in
VVER-1000 with several stuck rods. Kerntechnik, 83, pp. 389-395, (2018)
24. P.A. Bolobov, A.P. Lazarenko, M.Ju. Tomilov: Development of the code package
KASKAD for VVER calculations. 2011
www.iaea.org/inis/collection/.../_Public/40/.../40059695.pdf
PEPM'2021E3S Web of Conferences 327, 01013 (2021) https://doi.org/10.1051/e3sconf/202132701013
15